INOD — analysis and forecast
🧬 Faro multibagger DNA
Does it look today like the big multibaggers (×10, ×100) did when they started? 7 traits measured with public data.
Strongest: Room to grow and Cash it generates. Most lacking: Faro seal and Business quality.
Worth $1.4 B. To grow ×10 it would have to reach $14.2 B.
Sales +58% last quarter (year over year) and +48% last fiscal year · accelerating.
Gross margin 43%, operating margin 17%, return on equity 38%.
Free cash flow $170 M a year = 12.0% of its value.
Trades at 4.5× sales: 0.08 per point of growth (lower is better).
Net cash equal to 17% of its value.
No recent federal contracts on the radar · inside a Faro megatrend · insiders own 4.9%.
⏱️ Timing (not scored): near its 12-month low · below its 200-day average · trailing the S&P 500 by 50 points over 12 months.
Built on the traits of 365 stocks that went ×100 (Mayer, 1962–2014) and 464 that went ×10 (Yartseva, 2009–2024), plus the Faro thesis. It does not predict the price and is not a recommendation. How it works and the ranking →
🔢 What the numbers say
The last 12 months, in plain words
- Over the last year INOD is down 44.6%. Over about two years: +100.2%.
- Today it sits 66.0% below its 52-week high ($121.50) and +19.9% above the low ($34.45).
- The worst drop from a peak in those 12 months was 66.0%. Anyone who bought at the top had to sit through that.
- It rose on 43% of days. Best day: +86.0%. Worst day: -25.3%.
- Annual volatility around 84%: in a normal year a ±84% move would not be unusual for this stock (the S&P 500 usually runs 15–20%).
🗓️ Forecast by horizon
Directional bias · probability of rising · expected price and likely range (68%)
| Horizon | Bias | Prob. up | Expected price | 68% range |
|---|---|---|---|---|
| 1 day | Strongly bearish | 38% | $41.38 +0.1% | $39.25 – $43.62 |
| 3 days | Strongly bearish | 38% | $41.49 +0.4% | $37.87 – $45.46 |
| 1 week | Strongly bearish | 37% | $41.61 +0.7% | $36.98 – $46.82 |
| 15 days | Strongly bearish | 37% | $41.90 +1.4% | $35.46 – $49.50 |
| 1 month | Strongly bearish | 37% | $42.54 +3.0% | $33.41 – $54.17 |
| 3 months | Strongly bearish | 39% | $45.10 +9.2% | $29.68 – $68.55 |
Recent momentum: -38.3% over 20 days · -33.7% over 60 days. The further out the horizon, the wider and more uncertain the forecast.
📈 Probability cone
📜 Government contracts
We have no notable federal contract on file for INOD. You can look it up yourself at USASpending.gov or in the Government Sources hub.
📚 Go deeper: Faro Library reports
PDF reports built from official filings. Your first one is free, no email; then $1.99 each or all 33 for $25 — included in Navigator and Admiral.
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Could INOD be the next NVIDIA?
Its Faro multibagger DNA is 92/100 (strong multibagger dna): it measures how much it looks today like the big multibaggers did when they started (size, sales growth, quality, cash, price versus growth, balance sheet and public contracts). To grow ×10 it would need to be worth about 10 times today's value. Not a prediction or a recommendation.
How much has INOD fallen in the last year?
Innodata (INOD) is down 44.6% over the last 12 months and trades at $41.32, 66.0% below its 52-week high ($121.50). 52-week range: $34.45 – $121.50.
How volatile is INOD stock?
Its annualized volatility is around 84% and its worst drop from a peak over the last year was 66.0%. For reference, the S&P 500 usually moves 15–20% a year.
Does INOD have U.S. government contracts?
There is no notable federal contract in Faro's register. You can search USASpending.gov.
Is now a good time to buy INOD?
Nobody can know that for sure and this page is not a buy recommendation. What the data shows today: strongly bearish technical bias, RSI 32, price below its 50-day average and an estimated 37% probability of being higher in 1 month. Use it as a starting point for research, not as a signal.
🧠 How it is calculated
The verdict combines trend (20/50/200 moving averages), momentum (RSI, MACD), mean reversion (Bollinger Bands), conviction (volume) and historical drift, weighted differently for each horizon. Uncertainty is modeled with a lognormal probability cone (geometric Brownian motion). This is statistical analysis, not a crystal ball.
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